535 research outputs found
Energy-efficient wireless communication
In this chapter we present an energy-efficient highly adaptive network interface architecture and a novel data link layer protocol for wireless networks that provides Quality of Service (QoS) support for diverse traffic types. Due to the dynamic nature of wireless networks, adaptations in bandwidth scheduling and error control are necessary to achieve energy efficiency and an acceptable quality of service. In our approach we apply adaptability through all layers of the protocol stack, and provide feedback to the applications. In this way the applications can adapt the data streams, and the network protocols can adapt the communication parameters
An efficient scalable scheduling mac protocol for underwater sensor networks
Underwater Sensor Networks (UWSNs) utilise acoustic waves with comparatively lower loss and longer range than those of electromagnetic waves. However, energy remains a challenging issue in addition to long latency, high bit error rate, and limited bandwidth. Thus, collision and retransmission should be efficiently handled at Medium Access Control (MAC) layer in order to reduce the energy cost and also to improve the throughput and fairness across the network. In this paper, we propose a new reservation-based distributed MAC protocol called ED-MAC, which employs a duty cycle mechanism to address the spatial-temporal uncertainty and the hidden node problem to effectively avoid collisions and retransmissions. ED-MAC is a conflict-free protocol, where each sensor schedules itself independently using local information. Hence, ED-MAC can guarantee conflict-free transmissions and receptions of data packets. Compared with other conflict-free MAC protocols, ED-MAC is distributed and more reliable, i.e., it schedules according to the priority of sensor nodes which based on their depth in the network. We then evaluate design choices and protocol performance through extensive simulation to study the load effects and network scalability in each protocol. The results show that ED-MAC outperforms the contention-based MAC protocols and achieves a significant improvement in terms of successful delivery ratio, throughput, energy consumption, and fairness under varying offered traffic and number of nodes
Fresh Multiple Access: A Unified Framework Based on Large Models and Mean-Field Approximations
Information freshness has attracted increasingly attention in the past decade
as it plays a critical role in the emerging real-time applications. Age of
information (AoI) holds the promise of effectively characterizing the
information freshness, hence widely considered as a fundamental performance
metric. However, in multiple-device scenarios, most existing works focus on the
analysis and optimization of AoI based on queueing systems. The study for a
unified approach for general multiple access control scheme in
freshness-oriented scenarios remains open. In this paper, we take into
consideration the combination of the fundamental freshness metric AoI and
multiple access control schemes to achieve efficient cross-layer analysis and
optimization in freshness-oriented scenarios, which is referred to as fresh
multiple access. To this end, we build a unified framework with a discrete-time
tandem queue model for fresh multiple access. The unified framework enables the
analysis and optimization for general multiple access protocols in fresh
multiple access. To handle the high dimension framework embedded in fresh
multiple access, we introduce large model approaches for the Markov chain
formulation in AoI oriented scenarios. Two typical AoI-based metric are studied
including age of incorrect information (AoII) and peak AoII. Moreover, to
address the computational complexity of the large model, we present mean-field
approximations which significantly reduces the dimension of the Markov chain
model by approximating the integral affect of massive devices in fresh multiple
access.Comment: accepted by Journal of Communications and Network
E2MaC: an energy efficient MAC protocol for multimedia traffic
Energy efficiency is an important issue for mobile computers since they must rely on their batteries. We present a novel MAC protocol that achieves a good energy efficiency of wireless interface of the mobile and provides support for diverse traffic types and QoS. The scheduler of the base station is responsible to provide the required QoS to connections on the wireless link and to minimise the amount of energy spend by the mobile. The main principles of the E2MaC protocol are to avoid unsuccessful actions, minimise the number of transitions, and synchronise the mobile and the base-station. We will show that considerable amounts of energy can be saved using these principles. In the protocol the actions of the mobile are minimised. The base-station with plenty of energy performs actions in courtesy of the mobile. We have paid much attention in reducing the cost of a mobile for just being connected. The protocol is able to provide near-optimal energy efficiency (i.e. energy is only spent for the actual transfer) for a mobile within the constraints of the QoS of all connections in a cell, and only requires a small overhead
Delay and energy consumption analysis of frame slotted ALOHA variants for massive data collection in internet-of-things scenarios
This paper models and evaluates three FSA-based (Frame Slotted ALOHA) MAC (Medium Access Control) protocols, namely, FSA-ACK (FSA with ACKnowledgements), FSA-FBP (FSA with FeedBack Packets) and DFSA (Dynamic FSA). The protocols are modeled using an AMC (Absorbing Markov Chain), which allows to derive analytic expressions for the average packet delay, as well as the energy consumption of both the network coordinator and the end-devices. The results, based on computer simulations, show that the analytic model is accurate and outline the benefits of DFSA. In terms of delay, DFSA provides a reduction of 17% (FSA-FBP) and 32% (FSA-ACK), whereas in terms of energy consumption DFSA provides savings of 23% (FSA-FBP) and 28% (FSA-ACK) for the coordinator and savings of 50% (FSA-FBP) and 24% (FSA-ACK) for end-devices. Finally, the paper provides insights on how to configure each FSA variant depending on the network parameters, i.e., depending on the number of end-devices, to minimize delay and energy expenditure. This is specially interesting for massive data collection in IoT (Internet-of-Things) scenarios, which typically rely on FSA-based protocols and where the operation has to be optimized to support a large number of devices with stringent energy consumption requirementsPeer ReviewedPostprint (published version
Towards a Collision-Free WLAN: Dynamic Parameter Adjustment in CSMA/E2CA
Carrier Sense Multiple Access with Enhanced Collision Avoidance (CSMA/ECA) is
a distributed MAC protocol that allows collision-free access to the medium in
WLAN. The only difference between CSMA/ECA and the well-known CSMA/CA is that
the former uses a deterministic backoff after successful transmissions.
Collision-free operation is reached after a transient state during which some
collisions may occur. This article shows that the duration of the transient
state can be shortened by appropriately setting the contention parameters.
Standard absorbing Markov Chain theory can be used to describe the behaviour of
the system in the transient state and to predict the expected number of slots
to reach the collision-free operation.
The article also introduces CSMA/E2CA, in which a deterministic backoff is
used two consecutive times after a successful transmission. CSMA/E2CA converges
quicker to collision-free operation and delivers higher performance than
CSMA/CA in harsh wireless scenarios with high frame error rates.
To achieve collision-free operations when the number of contenders is large,
it may be necessary to dynamically adjust the contention parameter. The last
part of the article suggests an approach for such parameter adjustment which is
validated by simulation results
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An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slo ed ALOHA
Goodbye, ALOHA!
©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The vision of the Internet of Things (IoT) to interconnect and Internet-connect everyday people, objects, and machines poses new challenges in the design of wireless communication networks. The design of medium access control (MAC) protocols has been traditionally an intense area of research due to their high impact on the overall performance of wireless communications. The majority of research activities in this field deal with different variations of protocols somehow based on ALOHA, either with or without listen before talk, i.e., carrier sensing multiple access. These protocols operate well under low traffic loads and low number of simultaneous devices. However, they suffer from congestion as the traffic load and the number of devices increase. For this reason, unless revisited, the MAC layer can become a bottleneck for the success of the IoT. In this paper, we provide an overview of the existing MAC solutions for the IoT, describing current limitations and envisioned challenges for the near future. Motivated by those, we identify a family of simple algorithms based on distributed queueing (DQ), which can operate for an infinite number of devices generating any traffic load and pattern. A description of the DQ mechanism is provided and most relevant existing studies of DQ applied in different scenarios are described in this paper. In addition, we provide a novel performance evaluation of DQ when applied for the IoT. Finally, a description of the very first demo of DQ for its use in the IoT is also included in this paper.Peer ReviewedPostprint (author's final draft
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